CSE 311: Foundations of Computing Fall 2013 Lecture 3: Logic and Boolean algebra announcements Reading assignments – Propositional Logic 1.1 -1.3 7th Edition 1.1 -1.2 6th Edition – Boolean Algebra 12.1 – 12.3 7th Edition 11.1 – 11.3 6th Edition combinational logic circuits Design a circuit to compute the majority of 3 bits. What about majority of 5 bits? some other gates NAND ¬đ ∧ ¬đ NOR ¬đ ∨ ¬đ XOR đ⊕đ XNOR đ ↔ đ, đ = đ X Y X Y X Y X Y Z X 0 0 1 1 Y 0 1 0 1 Z 1 1 1 0 Z X 0 0 1 1 Y 0 1 0 1 Z 1 0 0 0 Z X 0 0 1 1 Y 0 1 0 1 Z 0 1 1 0 Z X 0 0 1 1 Y 0 1 0 1 Z 1 0 0 1 review: logical equivalence Terminology: A compound proposition is a Tautology if it is always true Contradiction if it is always false Contingency if it can be either true or false pīīp pī p (p īŽ q) ī p (p ī q) ī (p ī ī q) ī (ī p ī q) ī (ī p ī ī q) review: logical equivalence p and q are logically equivalent if and only if p īĢ q is a tautology i.e. p and q have the same truth table The notation p īē q denotes p and q are logically equivalent Example: pīēīīp p īp īīp pīĢīīp review: De Morgan’s laws ī (p ī q) īē ī p ī ī q ī (p ī q) īē ī p ī ī q What are the negations of: The Yankees and the Phillies will play in the World Series. It will rain today or it will snow on New Year’s Day. review: De Morgan’s laws Example: ī (p ī q) īē (ī p ī ī q) p q īp T T T F F T F F īq īpīīq pīq ī (p ī q) ī (p ī q) īĢ (ī p ī ī q) review: Law of Implication (p īŽ q) īē (ī p ī q) p q T T T F F T F F pīŽq īp īpīq (p īŽ q) īĢ (ī p ī q) understanding connectives • Reflect basic rules of reasoning and logic • Allow manipulation of logical formulas – Simplification – Testing for equivalence • Applications – Query optimization – Search optimization and caching – Artificial Intelligence – Program verification review: properties of logical connectives • • • • • • • • • Identity Domination Idempotent Commutative Associative Distributive Absorption Negation De Morgan’s Laws Textbook: 1.3 7th Edition/1.2 6th Edition, Table 6 some equivalences related to implication pīŽq pīŽq pīq pīq pīĢq pīĢq pīĢq ī (p īĢ q) īē īē īē īē īē īē īē īē īpīq īqīŽīp īpīŽq ī (p īŽ ī q) (pīŽ q) ī (q īŽ p) īpīĢīq (p ī q) ī (ī p ī ī q) pīĢīq some equivalences related to implication pīŽq īē īqīŽīp logical proofs To show P is equivalent to Q – Apply a series of logical equivalences to subexpressions to convert P to Q To show P is a tautology – Apply a series of logical equivalences to subexpressions to convert P to T prove this is a tautology (p ī q) īŽ (p ī q) prove this is a tautology (p ī (p īŽ q)) īŽ q proving non-equivalence (p īŽ q) īŽ r p īŽ (q īŽ r) boolean logic Combinational logic – output đĄ = đš input đĄ Sequential logic – output đĄ = đš output đĄ−1 , input 𥠕 output dependent on history • concept of a time step (clock) An algebraic structure consists of – a set of elements B = {0, 1} – binary operations { + , • } (OR, AND) – and a unary operation { ’ } (NOT ) a quick combinational logic example Calendar subsystem: # of days in a month (to control watch display) – used in controlling the display of a wrist-watch LCD screen – inputs: month, leap year flag – outputs: number of days Example: (March, non-leap year) → 31 implementation in software integer number_of_days (month, leap_year_flag){ switch (month) { case 1: return (31); case 2: if (leap_year_flag == 1) then return (29) else return (28); case 3: return (31); ... case 12: return (31); default: return (0); } } 20 implementation with combinatorial logic Encoding: - how many bits for each input/output? - binary number for month month 0000 - four wires for 28, 29, 30, and 31 month d28 d29 leap d30 d31 0001 0010 0010 0011 0100 0101 0110 0111 1000 1001 1010 1011 1100 1101 1110 1111 leap – – 0 1 – – – – – – – – – – – – – d28 – 0 1 0 0 0 0 0 0 0 0 0 0 0 – – – d29 – 0 0 1 0 0 0 0 0 0 0 0 0 0 – – – d30 – 0 0 0 0 1 0 1 0 0 1 0 1 0 – – – d31 – 1 0 0 1 0 1 0 1 1 0 1 0 1 – – – implementation with combinatorial logic Truth-table to logic to switches to gates d28 = “1 when month=0010 and leap=0” d28 = m8'•m4'•m2•m1'•leap‘ d31 = “1 when month=0001 or month=0011 or ... month=1100” d31 = (m8'•m4'•m2'•m1) + (m8'•m4'•m2•m1) + ... + (m8•m4•m2'•m1') d31 = can we simplify more? month leap d28 d29 d30 d31 0000 0001 0010 0010 0011 0100 ... 1100 1101 111– – – 0 1 – – – 0 1 0 0 0 – 0 0 1 0 0 – 0 0 0 0 1 – 1 0 0 1 0 – – – 0 – – 0 – – 0 – – 1 – – implementation with combinatorial logic d28 = m8'•m4'•m2•m1'•leap’ d29 = m8'•m4'•m2•m1'•leap d30 = (m8'•m4•m2'•m1') + (m8'•m4•m2•m1') + (m8•m4'•m2'•m1) + (m8•m4'•m2•m1) = (m8'•m4•m1') + (m8•m4'•m1) d31 = (m8'•m4'•m2'•m1) + (m8'•m4'•m2•m1) + (m8'•m4•m2'•m1) + (m8'•m4•m2•m1) + (m8•m4'•m2'•m1') + (m8•m4'•m2•m1') + (m8•m4•m2'•m1') combinational logic • • • • • Switches Basic logic and truth tables Logic functions Boolean algebra Proofs by re-writing and by truth table